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  • Poster presentation
  • Open Access

Meta-analysis of detection of respiratory events during procedural sedation

  • 1,
  • 1 and
  • 1
Critical Care201115 (Suppl 1) :P350

https://doi.org/10.1186/cc9770

  • Published:

Keywords

  • Pulse Oximetry
  • Respiratory Depression
  • Cochrane Review
  • Inherent Limitation
  • Cochrane Library

Introduction

The use of procedural sedation and analgesia (PSA) has increased in frequency and scope, including emergent settings inside and outside the hospital. Although end-tidal CO2 (EtCO2) monitoring is routinely used during general anesthesia to monitor ventilatory status, this is not the case for PSA. Pulse oximetry and visual inspection, both with inherent limitations, represent the current standards of care for monitoring ventilatory status during PSA. EtCO2 monitoring may be a preferable method for detecting alveolar hypoventilation and preventing hypoxemia during PSA but is not widely used in this setting. Our study objective was to determine whether capnography in addition to standard monitoring improved detection of respiratory events compared with standard monitoring alone.

Methods

A literature search was conducted using the electronic databases PubMed, CINAHL, and Cochrane Library (Cochrane Reviews, CENTRAL) for studies published between 1995 and 2009 reporting adverse respiratory events during procedural sedation and analgesia with clearly defined EtCO2 threshold, clear study design, P- value calculation, similar outcome and predictor variable definitions, and binary independent and dependent variable raw data. To limit threats from variations in practice, only reports of adults in the USA were included. Five such studies were evaluated independently. A meta-analysis of these studies was performed.

Results

During PSA, cases of respiratory depression were 17.6 times more likely to be detected if monitored by capnography, versus cases not monitored by capnography (95% CI, 2.5 to 122.1; P < 0.004).

Conclusions

This analysis suggests that EtCO2 monitoring is an important addition for detecting respiratory depression during PSA.

Authors’ Affiliations

(1)
University of Alabama at Birmingham, AL, USA

Copyright

© Waugh et al. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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